Negotiation agents leak private constraints through observable concession trajectories and timing. Apple researchers formalized these behavioral privacy leaks and proposed randomized policies to mitigate inference attacks. This framework prevents adversaries from deducing hidden constraints during high-stakes procurement. It offers a necessary security layer for autonomous agents in sensitive financial environments.